56 citations · 117 across the 16 of their papers we have counts for
Showing 2021 · cs.LGShow all
2 papers · 2 filters
cs.LG2021
PDE-READ: Human-readable Partial Differential Equation Discovery using Deep Learning
Robert Stephany, Christopher Earls
PDE discovery shows promise for uncovering predictive models of complex physical systems but has difficulty when measurements are sparse and noisy. We introduce a new approach for…
cs.LG2021★ 56 cited
Data-driven discovery of Green's functions with human-understandable deep learning
Nicolas Boullé, Christopher J. Earls, Alex Townsend
There is an opportunity for deep learning to revolutionize science and technology by revealing its findings in a human interpretable manner. To do this, we develop a novel data-dri…